Last updated on 2026-02-03 14:51:26 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.1.3 | 12.34 | 357.66 | 370.00 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.1.3 | 8.46 | 245.30 | 253.76 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.1.3 | 22.00 | 579.89 | 601.89 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 1.1.3 | 22.00 | 616.62 | 638.62 | ERROR | |
| r-devel-windows-x86_64 | 1.1.3 | 15.00 | 371.00 | 386.00 | OK | |
| r-patched-linux-x86_64 | 1.1.3 | 12.71 | 340.49 | 353.20 | OK | |
| r-release-linux-x86_64 | 1.1.3 | 13.13 | 341.31 | 354.44 | OK | |
| r-release-macos-arm64 | 1.1.3 | OK | ||||
| r-release-macos-x86_64 | 1.1.3 | 9.00 | 413.00 | 422.00 | OK | |
| r-release-windows-x86_64 | 1.1.3 | 15.00 | 371.00 | 386.00 | OK | |
| r-oldrel-macos-arm64 | 1.1.3 | OK | ||||
| r-oldrel-macos-x86_64 | 1.1.3 | 10.00 | 421.00 | 431.00 | OK | |
| r-oldrel-windows-x86_64 | 1.1.3 | 21.00 | 487.00 | 508.00 | OK |
Version: 1.1.3
Check: R code for possible problems
Result: NOTE
summarise.duckplyr_df: no visible global function definition for
‘summarise_deprecate_variable_size’
Undefined global functions or variables:
summarise_deprecate_variable_size
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 1.1.3
Check: tests
Result: ERROR
Running ‘testthat.R’ [338s/447s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(duckplyr)
Loading required package: dplyr
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
The duckplyr package is configured to fall back to dplyr when it encounters an
incompatibility. Fallback events can be collected and uploaded for analysis to
guide future development. By default, data will be collected but no data will
be uploaded.
ℹ Automatic fallback uploading is not controlled and therefore disabled, see
`?duckplyr::fallback()`.
✔ Number of reports ready for upload: 5.
→ Review with `duckplyr::fallback_review()`, upload with
`duckplyr::fallback_upload()`.
ℹ Configure automatic uploading with `duckplyr::fallback_config()`.
✔ Overwriting dplyr methods with duckplyr methods.
ℹ Turn off with `duckplyr::methods_restore()`.
>
> test_check("duckplyr")
Saving _problems/test-tpch-133.R
Saving _problems/test-tpch-270.R
Saving _problems/test-as_duckplyr_df-268.R
Saving _problems/test-as_duckplyr_df-281.R
Saving _problems/test-as_duckplyr_df-294.R
Saving _problems/test-as_duckplyr_df-307.R
Saving _problems/test-as_duckplyr_df-320.R
Saving _problems/test-as_duckplyr_df-333.R
Saving _problems/test-dplyr-count-tally-190.R
Saving _problems/test-dplyr-across-571.R
Saving _problems/test-dplyr-across-971.R
Saving _problems/test-dplyr-across-1153.R
Saving _problems/test-dplyr-generics-153.R
Saving _problems/test-dplyr-group-by-103.R
Saving _problems/test-dplyr-group-data-63.R
Saving _problems/test-dplyr-group-data-86.R
Saving _problems/test-dplyr-if-else-119.R
Saving _problems/test-dplyr-join-rows-442.R
Saving _problems/test-dplyr-select-helpers-20.R
Saving _problems/test-dplyr-summarise-23.R
Saving _problems/test-dplyr-summarise-152.R
Saving _problems/test-dplyr-summarise-571.R
Saving _problems/test-prudence-44.R
Saving _problems/test-prudence-53.R
[ FAIL 24 | WARN 46 | SKIP 593 | PASS 2316 ]
══ Skipped tests (593) ═════════════════════════════════════════════════════════
• Always returns tibble (1): 'test-as_duckplyr_df.R:743:3'
• External vector? (4): 'test-as_duckplyr_df.R:2366:3',
'test-as_duckplyr_df.R:2382:3', 'test-as_duckplyr_df.R:2396:3',
'test-as_duckplyr_df.R:2412:3'
• Grouped (4): 'test-as_duckplyr_df.R:669:3', 'test-as_duckplyr_df.R:727:3',
'test-as_duckplyr_df.R:789:3', 'test-as_duckplyr_df.R:2658:3'
• Hack (1): 'test-as_duckplyr_df.R:560:3'
• Missing or empty names not allowed. (6): 'test-dplyr-mutate.R:909:3',
'test-dplyr-filter.R:653:3', 'test-dplyr-select.R:47:3',
'test-dplyr-select.R:143:3', 'test-dplyr-select.R:152:3',
'test-dplyr-summarise.R:469:3'
• Must pass a plain data frame or a tibble, not NULL. (1):
'test-dplyr-copy-to.R:19:3'
• Must pass a plain data frame or a tibble, not a <dplyr_foobar> object. (2):
'test-dplyr-filter.R:584:3', 'test-dplyr-arrange.R:306:3'
• Must pass a plain data frame or a tibble, not a <dplyr_test_broken_operator>
object. (1): 'test-dplyr-select.R:183:3'
• Must pass a plain data frame or a tibble, not a <foo_df> object. (4):
'test-dplyr-filter.R:573:3', 'test-dplyr-arrange.R:295:3',
'test-dplyr-group-split.R:122:3', 'test-dplyr-group-split.R:137:3'
• Must pass a plain data frame or a tibble, not a <grouped_df> object. (205):
'test-dplyr-mutate.R:14:3', 'test-dplyr-mutate.R:56:3',
'test-dplyr-mutate.R:84:3', 'test-dplyr-mutate.R:116:3',
'test-dplyr-mutate.R:156:3', 'test-dplyr-mutate.R:176:3',
'test-dplyr-mutate.R:249:3', 'test-dplyr-mutate.R:263:3',
'test-dplyr-mutate.R:300:3', 'test-dplyr-mutate.R:309:3',
'test-dplyr-mutate.R:321:3', 'test-dplyr-mutate.R:407:3',
'test-dplyr-mutate.R:432:3', 'test-dplyr-mutate.R:462:3',
'test-dplyr-mutate.R:492:3', 'test-dplyr-mutate.R:587:3',
'test-dplyr-mutate.R:634:3', 'test-dplyr-mutate.R:643:3',
'test-dplyr-mutate.R:672:3', 'test-dplyr-mutate.R:681:3',
'test-dplyr-mutate.R:702:3', 'test-dplyr-mutate.R:753:3',
'test-dplyr-mutate.R:778:3', 'test-dplyr-mutate.R:799:3',
'test-dplyr-mutate.R:899:3', 'test-dplyr-filter.R:15:5',
'test-dplyr-filter.R:34:3', 'test-dplyr-filter.R:61:3',
'test-dplyr-filter.R:124:3', 'test-dplyr-filter.R:164:3',
'test-dplyr-filter.R:191:3', 'test-dplyr-filter.R:235:3',
'test-dplyr-filter.R:243:3', 'test-dplyr-filter.R:309:3',
'test-dplyr-filter.R:325:3', 'test-dplyr-filter.R:367:3',
'test-dplyr-filter.R:418:3', 'test-dplyr-filter.R:443:3',
'test-dplyr-filter.R:550:3', 'test-dplyr-filter.R:626:3',
'test-dplyr-filter.R:638:3', 'test-dplyr-filter.R:709:3',
'test-dplyr-count-tally.R:64:3', 'test-dplyr-count-tally.R:73:3',
'test-dplyr-count-tally.R:84:3', 'test-dplyr-count-tally.R:166:3',
'test-dplyr-count-tally.R:182:3', 'test-dplyr-across.R:21:3',
'test-dplyr-across.R:28:3', 'test-dplyr-across.R:222:3',
'test-dplyr-across.R:330:3', 'test-dplyr-across.R:340:3',
'test-dplyr-across.R:685:3', 'test-dplyr-across.R:700:5',
'test-dplyr-across.R:1104:3', 'test-dplyr-across.R:1197:3',
'test-dplyr-across.R:1235:3', 'test-dplyr-across.R:1262:3',
'test-dplyr-across.R:1412:3', 'test-dplyr-across.R:1426:3',
'test-dplyr-arrange.R:16:3', 'test-dplyr-arrange.R:213:3',
'test-dplyr-arrange.R:220:3', 'test-dplyr-arrange.R:226:3',
'test-dplyr-arrange.R:344:3', 'test-dplyr-arrange.R:388:3',
'test-dplyr-bind-rows.R:88:3', 'test-dplyr-conditions.R:10:3',
'test-dplyr-context.R:16:3', 'test-dplyr-context.R:30:3',
'test-dplyr-context.R:38:3', 'test-dplyr-context.R:57:3',
'test-dplyr-distinct.R:57:3', 'test-dplyr-distinct.R:63:3',
'test-dplyr-distinct.R:71:3', 'test-dplyr-distinct.R:122:3',
'test-dplyr-distinct.R:163:3', 'test-dplyr-group-by.R:14:3',
'test-dplyr-group-by.R:25:3', 'test-dplyr-group-by.R:54:3',
'test-dplyr-group-by.R:65:3', 'test-dplyr-group-by.R:77:3',
'test-dplyr-group-by.R:86:3', 'test-dplyr-group-by.R:94:3',
'test-dplyr-group-by.R:124:5', 'test-dplyr-group-by.R:132:3',
'test-dplyr-group-by.R:176:3', 'test-dplyr-group-by.R:187:3',
'test-dplyr-group-by.R:202:3', 'test-dplyr-group-by.R:235:3',
'test-dplyr-group-by.R:252:3', 'test-dplyr-group-by.R:283:7',
'test-dplyr-group-by.R:298:3', 'test-dplyr-group-by.R:317:3',
'test-dplyr-group-by.R:325:3', 'test-dplyr-group-by.R:355:3',
'test-dplyr-group-by.R:365:3', 'test-dplyr-group-by.R:375:3',
'test-dplyr-group-by.R:381:3', 'test-dplyr-group-by.R:387:3',
'test-dplyr-group-by.R:424:3', 'test-dplyr-group-by.R:444:3',
'test-dplyr-group-by.R:467:3', 'test-dplyr-group-by.R:485:3',
'test-dplyr-group-by.R:503:3', 'test-dplyr-group-by.R:590:3',
'test-dplyr-group-by.R:614:3', 'test-dplyr-group-data.R:56:3',
'test-dplyr-group-data.R:95:3', 'test-dplyr-group-data.R:103:3',
'test-dplyr-group-data.R:123:3', 'test-dplyr-group-data.R:131:3',
'test-dplyr-group-map.R:9:3', 'test-dplyr-group-map.R:27:3',
'test-dplyr-group-map.R:41:3', 'test-dplyr-group-map.R:66:3',
'test-dplyr-group-map.R:78:3', 'test-dplyr-group-map.R:90:3',
'test-dplyr-group-map.R:111:3', 'test-dplyr-group-map.R:127:3',
'test-dplyr-group-nest.R:35:3', 'test-dplyr-group-nest.R:49:3',
'test-dplyr-group-split.R:40:3', 'test-dplyr-group-split.R:50:3',
'test-dplyr-group-split.R:79:3', 'test-dplyr-group-split.R:104:3',
'test-dplyr-group-trim.R:13:3', 'test-dplyr-group-trim.R:21:3',
'test-dplyr-grouped-df.R:13:3', 'test-dplyr-grouped-df.R:99:3',
'test-dplyr-join.R:630:3', 'test-dplyr-join.R:652:3',
'test-dplyr-join.R:675:3', 'test-dplyr-nest-by.R:26:3',
'test-dplyr-pick.R:40:3', 'test-dplyr-pick.R:77:3',
'test-dplyr-pick.R:100:3', 'test-dplyr-pick.R:141:3',
'test-dplyr-pick.R:166:3', 'test-dplyr-pick.R:199:3',
'test-dplyr-pick.R:223:3', 'test-dplyr-pick.R:271:3',
'test-dplyr-pick.R:377:3', 'test-dplyr-rank.R:58:3',
'test-dplyr-rank.R:104:3', 'test-dplyr-reframe.R:33:3',
'test-dplyr-reframe.R:51:3', 'test-dplyr-reframe.R:85:3',
'test-dplyr-reframe.R:101:3', 'test-dplyr-reframe.R:123:3',
'test-dplyr-reframe.R:136:3', 'test-dplyr-reframe.R:211:3',
'test-dplyr-reframe.R:219:3', 'test-dplyr-reframe.R:231:3',
'test-dplyr-reframe.R:241:3', 'test-dplyr-reframe.R:296:3',
'test-dplyr-rename.R:16:3', 'test-dplyr-rename.R:38:3',
'test-dplyr-rowwise.R:69:3', 'test-dplyr-sample.R:28:3',
'test-dplyr-sample.R:46:3', 'test-dplyr-sample.R:100:3',
'test-dplyr-select-helpers.R:13:3', 'test-dplyr-select.R:11:3',
'test-dplyr-select.R:19:3', 'test-dplyr-select.R:35:3',
'test-dplyr-select.R:94:3', 'test-dplyr-select.R:113:3',
'test-dplyr-sets.R:45:3', 'test-dplyr-slice.R:15:3',
'test-dplyr-slice.R:28:3', 'test-dplyr-slice.R:38:3',
'test-dplyr-slice.R:55:3', 'test-dplyr-slice.R:86:3',
'test-dplyr-slice.R:106:3', 'test-dplyr-slice.R:130:3',
'test-dplyr-slice.R:142:3', 'test-dplyr-slice.R:209:3',
'test-dplyr-slice.R:341:3', 'test-dplyr-slice.R:400:3',
'test-dplyr-slice.R:594:3', 'test-dplyr-slice.R:620:3',
'test-dplyr-slice.R:641:3', 'test-dplyr-summarise.R:52:3',
'test-dplyr-summarise.R:68:3', 'test-dplyr-summarise.R:83:3',
'test-dplyr-summarise.R:126:3', 'test-dplyr-summarise.R:200:3',
'test-dplyr-summarise.R:219:3', 'test-dplyr-summarise.R:236:3',
'test-dplyr-summarise.R:241:3', 'test-dplyr-summarise.R:251:3',
'test-dplyr-summarise.R:265:3', 'test-dplyr-summarise.R:271:3',
'test-dplyr-summarise.R:302:3', 'test-dplyr-summarise.R:314:3',
'test-dplyr-summarise.R:354:3', 'test-dplyr-summarise.R:367:3',
'test-dplyr-summarise.R:375:3', 'test-dplyr-summarise.R:435:3',
'test-dplyr-transmute.R:9:3', 'test-dplyr-transmute.R:16:3',
'test-dplyr-transmute.R:34:3', 'test-dplyr-transmute.R:56:3',
'test-dplyr-transmute.R:89:3'
• Must pass a plain data frame or a tibble, not a <myclass> object. (1):
'test-dplyr-summarise.R:92:3'
• Must pass a plain data frame or a tibble, not a <noisy> object. (1):
'test-dplyr-slice.R:386:3'
• Must pass a plain data frame or a tibble, not a <rowwise_df> object. (34):
'test-dplyr-mutate.R:336:3', 'test-dplyr-mutate.R:367:3',
'test-dplyr-mutate.R:373:3', 'test-dplyr-mutate.R:380:3',
'test-dplyr-mutate.R:414:3', 'test-dplyr-mutate.R:472:3',
'test-dplyr-mutate.R:596:3', 'test-dplyr-mutate.R:742:3',
'test-dplyr-mutate.R:767:3', 'test-dplyr-mutate.R:784:3',
'test-dplyr-filter.R:229:3', 'test-dplyr-filter.R:718:3',
'test-dplyr-across.R:1163:3', 'test-dplyr-across.R:1289:3',
'test-dplyr-group-by.R:267:3', 'test-dplyr-group-data.R:117:3',
'test-dplyr-group-split.R:44:3', 'test-dplyr-group-split.R:111:3',
'test-dplyr-join.R:499:3', 'test-dplyr-join.R:685:3',
'test-dplyr-nest-by.R:13:3', 'test-dplyr-pick.R:65:3',
'test-dplyr-pick.R:88:3', 'test-dplyr-pick.R:332:3',
'test-dplyr-reframe.R:249:3', 'test-dplyr-reframe.R:259:3',
'test-dplyr-reframe.R:268:3', 'test-dplyr-reframe.R:305:3',
'test-dplyr-rowwise.R:11:3', 'test-dplyr-rowwise.R:46:3',
'test-dplyr-rowwise.R:78:3', 'test-dplyr-slice.R:218:3',
'test-dplyr-summarise.R:285:3', 'test-dplyr-summarise.R:444:3'
• Must pass a plain data frame or a tibble, not a character vector. (1):
'test-dplyr-group-nest.R:19:3'
• Must pass a plain data frame or a tibble, not a number. (1):
'test-dplyr-sets.R:143:3'
• Must pass a plain data frame or a tibble, not an integer vector. (1):
'test-dplyr-sets.R:53:3'
• On CRAN (269): 'test-dplyr-mutate.R:200:1', 'test-dplyr-filter.R:424:1',
'test-dplyr-filter.R:433:1', 'test-dplyr-filter.R:697:1',
'test-dplyr-filter.R:723:1', 'test-dplyr-count-tally.R:51:1',
'test-dplyr-count-tally.R:141:1', 'test-dplyr-count-tally.R:169:1',
'test-dplyr-count-tally.R:193:1', 'test-dplyr-count-tally.R:225:1',
'test-as_duckplyr_tibble.R:1:1', 'test-as_duckplyr_tibble.R:15:1',
'test-compute.R:1:1', 'test-demo.R:1:1', 'test-dplyr-across.R:143:1',
'test-dplyr-across.R:156:1', 'test-dplyr-across.R:227:1',
'test-dplyr-across.R:621:1', 'test-dplyr-across.R:758:1',
'test-dplyr-across.R:795:1', 'test-dplyr-across.R:1183:1',
'test-dplyr-across.R:1321:1', 'test-dplyr-across.R:1333:1',
'test-dplyr-all-equal.R:8:1', 'test-dplyr-all-equal.R:32:1',
'test-dplyr-all-equal.R:41:1', 'test-dplyr-all-equal.R:50:1',
'test-dplyr-all-equal.R:60:1', 'test-dplyr-all-equal.R:114:1',
'test-dplyr-all-equal.R:143:1', 'test-dplyr-all-equal.R:155:1',
'test-dplyr-all-equal.R:167:1', 'test-dplyr-all-equal.R:175:1',
'test-dplyr-arrange.R:34:1', 'test-dplyr-arrange.R:175:1',
'test-dplyr-arrange.R:181:1', 'test-dplyr-arrange.R:193:1',
'test-dplyr-arrange.R:326:1', 'test-dplyr-bind-cols.R:46:1',
'test-dplyr-bind-cols.R:122:1', 'test-dplyr-bind-cols.R:138:1',
'test-dplyr-bind-rows.R:140:1', 'test-dplyr-bind-rows.R:155:1',
'test-dplyr-bind-rows.R:248:1', 'test-dplyr-by.R:74:1',
'test-dplyr-by.R:82:1', 'test-dplyr-by.R:91:1', 'test-dplyr-by.R:100:1',
'test-dplyr-case-match.R:29:1', 'test-dplyr-case-match.R:44:1',
'test-dplyr-case-match.R:56:1', 'test-dplyr-case-match.R:65:1',
'test-dplyr-case-when.R:222:1', 'test-dplyr-case-when.R:231:1',
'test-dplyr-case-when.R:243:1', 'test-dplyr-case-when.R:253:1',
'test-dplyr-case-when.R:259:1', 'test-dplyr-case-when.R:268:1',
'test-dplyr-case-when.R:277:1', 'test-dplyr-coalesce.R:32:1',
'test-dplyr-coalesce.R:94:1', 'test-dplyr-coalesce.R:102:1',
'test-dplyr-coalesce.R:118:1', 'test-dplyr-coalesce.R:124:1',
'test-dplyr-conditions.R:45:1', 'test-dplyr-consecutive-id.R:17:1',
'test-dplyr-consecutive-id.R:26:1', 'test-dplyr-context.R:63:1',
'test-dplyr-desc.R:8:1', 'test-dplyr-distinct.R:185:1',
'test-dplyr-funs.R:60:1', 'test-dplyr-funs.R:75:1',
'test-dplyr-grouped-df.R:123:1', 'test-dplyr-grouped-df.R:193:1',
'test-dplyr-if-else.R:53:1', 'test-dplyr-if-else.R:61:1',
'test-dplyr-if-else.R:78:1', 'test-dplyr-if-else.R:84:1',
'test-dplyr-if-else.R:99:1', 'test-dplyr-if-else.R:105:1',
'test-dplyr-join-by.R:195:1', 'test-dplyr-join-by.R:239:1',
'test-dplyr-join-by.R:246:1', 'test-dplyr-join-by.R:263:1',
'test-dplyr-join-by.R:271:1', 'test-dplyr-join-by.R:358:1',
'test-dplyr-join-by.R:373:1', 'test-dplyr-join-cols.R:90:1',
'test-dplyr-join-cols.R:131:1', 'test-dplyr-join-cols.R:136:1',
'test-dplyr-join-cols.R:196:1', 'test-dplyr-join-cross.R:57:1',
'test-dplyr-join-rows.R:8:1', 'test-dplyr-join-rows.R:155:1',
'test-dplyr-join-rows.R:170:1', 'test-dplyr-join-rows.R:178:1',
'test-dplyr-join-rows.R:187:1', 'test-dplyr-join-rows.R:193:1',
'test-dplyr-join-rows.R:212:1', 'test-dplyr-join-rows.R:276:1',
'test-dplyr-join-rows.R:386:1', 'test-dplyr-join-rows.R:405:1',
'test-dplyr-join-rows.R:422:3', 'test-dplyr-join-rows.R:451:1',
'test-dplyr-join-rows.R:463:1', 'test-dplyr-join.R:152:1',
'test-dplyr-join.R:340:1', 'test-dplyr-join.R:352:1',
'test-dplyr-join.R:387:1', 'test-dplyr-join.R:393:1',
'test-dplyr-join.R:449:1', 'test-dplyr-join.R:458:1',
'test-dplyr-join.R:467:1', 'test-dplyr-join.R:516:1',
'test-dplyr-join.R:552:1', 'test-dplyr-join.R:602:1',
'test-dplyr-join.R:704:1', 'test-dplyr-join.R:716:1',
'test-dplyr-join.R:727:1', 'test-dplyr-join.R:748:1',
'test-dplyr-join.R:765:1', 'test-dplyr-lead-lag.R:26:1',
'test-dplyr-lead-lag.R:59:1', 'test-dplyr-lead-lag.R:70:1',
'test-dplyr-lead-lag.R:79:1', 'test-dplyr-n-distinct.R:46:1',
'test-dplyr-na-if.R:67:1', 'test-dplyr-na-if.R:75:1',
'test-dplyr-na-if.R:87:1', 'test-dplyr-nth-value.R:145:1',
'test-dplyr-nth-value.R:154:1', 'test-dplyr-nth-value.R:160:1',
'test-dplyr-nth-value.R:166:1', 'test-dplyr-nth-value.R:178:1',
'test-dplyr-nth-value.R:184:1', 'test-dplyr-order-by.R:8:1',
'test-dplyr-order-by.R:22:1', 'test-dplyr-order-by.R:50:1',
'test-dplyr-pick.R:148:1', 'test-dplyr-pick.R:306:1',
'test-dplyr-pick.R:336:1', 'test-dplyr-pick.R:346:1',
'test-dplyr-pick.R:462:1', 'test-dplyr-pick.R:486:1',
'test-dplyr-pick.R:497:1', 'test-dplyr-rank.R:107:1',
'test-dplyr-relocate.R:34:1', 'test-dplyr-rename.R:77:1',
'test-dplyr-rename.R:87:1', 'test-dplyr-rename.R:97:1',
'test-dplyr-rows.R:20:1', 'test-dplyr-rows.R:71:1', 'test-dplyr-rows.R:80:1',
'test-dplyr-rows.R:89:1', 'test-dplyr-rows.R:101:1',
'test-dplyr-rows.R:125:1', 'test-dplyr-rows.R:141:1',
'test-dplyr-rows.R:176:1', 'test-dplyr-rows.R:203:1',
'test-dplyr-rows.R:218:1', 'test-dplyr-rows.R:233:1',
'test-dplyr-rows.R:245:1', 'test-dplyr-rows.R:273:1',
'test-dplyr-rows.R:300:1', 'test-dplyr-rows.R:315:1',
'test-dplyr-rows.R:330:1', 'test-dplyr-rows.R:360:1',
'test-dplyr-rows.R:375:1', 'test-dplyr-rows.R:390:1',
'test-dplyr-rows.R:399:1', 'test-dplyr-rows.R:419:1',
'test-dplyr-rows.R:436:1', 'test-dplyr-rows.R:473:1',
'test-dplyr-rows.R:490:1', 'test-dplyr-rows.R:497:1',
'test-dplyr-rows.R:503:1', 'test-dplyr-rows.R:513:1',
'test-dplyr-rows.R:523:1', 'test-dplyr-rows.R:532:1',
'test-dplyr-rowwise.R:62:1', 'test-dplyr-rowwise.R:94:1',
'test-dplyr-sample.R:109:1', 'test-dplyr-select.R:164:1',
'test-dplyr-sets.R:62:1', 'test-dplyr-sets.R:75:1', 'test-dplyr-sets.R:89:1',
'test-dplyr-sets.R:129:1', 'test-dplyr-sets.R:146:1',
'test-dplyr-slice.R:45:1', 'test-dplyr-slice.R:66:1',
'test-dplyr-slice.R:76:1', 'test-dplyr-slice.R:112:1',
'test-dplyr-slice.R:197:1', 'test-dplyr-slice.R:223:1',
'test-dplyr-slice.R:233:1', 'test-dplyr-slice.R:246:1',
'test-dplyr-slice.R:254:1', 'test-dplyr-slice.R:303:1',
'test-dplyr-slice.R:344:1', 'test-dplyr-slice.R:409:1',
'test-dplyr-slice.R:522:1', 'test-dplyr-slice.R:530:1',
'test-dplyr-slice.R:563:1', 'test-dplyr-slice.R:576:1',
'test-dplyr-summarise.R:423:1', 'test-dplyr-transmute.R:96:1',
'test-duckplyr-across.R:1:1', 'test-duckplyr.R:10:1', 'test-ducktbl.R:30:1',
'test-ducktbl.R:36:1', 'test-ducktbl.R:42:1', 'test-expr.R:2:3',
'test-fallback.R:1:1', 'test-fallback.R:17:1', 'test-fallback.R:33:1',
'test-fallback.R:49:1', 'test-fallback.R:62:1', 'test-fallback.R:81:1',
'test-fallback.R:109:1', 'test-fallback.R:126:1', 'test-fallback.R:143:1',
'test-fallback.R:160:1', 'test-fallback.R:174:1', 'test-fallback.R:186:1',
'test-fallback.R:198:1', 'test-fallback.R:210:1', 'test-fallback.R:226:1',
'test-fallback.R:242:1', 'test-fallback.R:290:1', 'test-handle_desc.R:19:1',
'test-handle_desc.R:28:1', 'test-n_distinct.R:111:1',
'test-n_distinct.R:125:1', 'test-n_distinct.R:138:1', 'test-overwrite.R:1:1',
'test-relational-duckdb.R:1:1', 'test-relational-duckdb.R:60:1',
'test-relational-duckdb.R:66:1', 'test-relational-duckdb.R:103:1',
'test-relational-rel.R:1:1', 'test-relational.R:1:1', 'test-telemetry.R:3:1',
'test-telemetry.R:40:1', 'test-telemetry.R:52:1', 'test-telemetry.R:64:1',
'test-telemetry.R:76:1', 'test-telemetry.R:93:1', 'test-telemetry.R:114:1',
'test-telemetry.R:136:1', 'test-telemetry.R:143:1', 'test-telemetry.R:165:1',
'test-telemetry.R:177:1', 'test-telemetry.R:194:1', 'test-telemetry.R:201:1',
'test-telemetry.R:223:1', 'test-telemetry.R:230:1', 'test-telemetry.R:247:1',
'test-telemetry.R:254:1', 'test-telemetry.R:271:1', 'test-telemetry.R:278:1',
'test-telemetry.R:285:1', 'test-telemetry.R:292:1', 'test-translate.R:9:1',
'test-translate.R:15:1', 'test-translate.R:21:1', 'test-translate.R:40:1',
'test-translate.R:132:1', 'test-translate.R:162:1', 'test-translate.R:199:1'
• Random seed (2): 'test-as_duckplyr_df.R:2136:3',
'test-as_duckplyr_df.R:2152:3'
• Special (5): 'test-as_duckplyr_df.R:683:3', 'test-as_duckplyr_df.R:699:3',
'test-as_duckplyr_df.R:759:3', 'test-as_duckplyr_df.R:834:3',
'test-as_duckplyr_df.R:1653:3'
• Stack overflow (1): 'test-as_duckplyr_df.R:2120:3'
• TODO duckdb (17): 'test-dplyr-mutate.R:438:3', 'test-dplyr-mutate.R:558:3',
'test-dplyr-across.R:911:3', 'test-dplyr-across.R:937:3',
'test-dplyr-all-equal.R:187:3', 'test-dplyr-copy-to.R:9:3',
'test-dplyr-funs.R:85:3', 'test-dplyr-funs.R:103:3',
'test-dplyr-generics.R:167:3', 'test-dplyr-group-by.R:570:3',
'test-dplyr-group-nest.R:53:3', 'test-dplyr-join-rows.R:200:3',
'test-dplyr-join.R:363:3', 'test-dplyr-join.R:369:3',
'test-dplyr-summarise.R:37:3', 'test-dplyr-summarise.R:337:3',
'test-dplyr-summarise.R:478:3'
• WAT (3): 'test-as_duckplyr_df.R:713:3', 'test-as_duckplyr_df.R:773:3',
'test-as_duckplyr_df.R:1667:3'
• Won't need (1): 'test-prom.R:2:3'
• argument ".data" is missing, with no default (1):
'test-dplyr-group-data.R:71:3'
• can_load_extension("json") is not TRUE (1): 'test-read_json_duckdb.R:2:3'
• dplyr:::compute_groups() is only needed to test dplyr internals (4):
'test-dplyr-group-by.R:579:3', 'test-dplyr-grouped-df.R:202:3',
'test-dplyr-grouped-df.R:208:3', 'test-dplyr-grouped-df.R:219:3'
• dplyr:::err_locs() is only needed to test dplyr internals (1):
'test-dplyr-conditions.R:34:3'
• dplyr:::expand_pick() is only needed to test dplyr internals (2):
'test-dplyr-pick.R:552:3', 'test-dplyr-pick.R:569:3'
• dplyr:::group_labels_details() is only needed to test dplyr internals (1):
'test-dplyr-context.R:76:3'
• dplyr:::reset_dplyr_warnings() is only needed to test dplyr internals (4):
'test-dplyr-conditions.R:68:3', 'test-dplyr-conditions.R:135:3',
'test-dplyr-conditions.R:164:3', 'test-dplyr-conditions.R:188:3'
• dplyr:::shift() is only needed to test dplyr internals (9):
'test-dplyr-lead-lag.R:94:3', 'test-dplyr-lead-lag.R:104:3',
'test-dplyr-lead-lag.R:113:3', 'test-dplyr-lead-lag.R:125:3',
'test-dplyr-lead-lag.R:140:3', 'test-dplyr-lead-lag.R:151:3',
'test-dplyr-lead-lag.R:159:3', 'test-dplyr-lead-lag.R:168:3',
'test-dplyr-lead-lag.R:174:3'
• i In argument: `.result = (1 + "") * am`. (1): 'test-dplyr-conditions.R:25:5'
• i In argument: `n = base::sum(...)`. (1): 'test-dplyr-count-tally.R:127:3'
• {RSQLite} is not installed (2): 'test-dplyr-count-tally.R:93:3',
'test-dplyr-count-tally.R:105:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-tpch.R:110:3'): TPCH queries can be parsed and run ─────────────
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─duckplyr:::tpch_21()
2. │ └─... %>% filter(n_supplier > 1)
3. ├─dplyr::filter(., n_supplier > 1)
4. ├─dplyr::summarise(., n_supplier = n(), .by = l_orderkey)
5. ├─dplyr::count(., l_orderkey, l_suppkey)
6. ├─duckplyr:::count.duckplyr_df(., l_orderkey, l_suppkey)
7. │ ├─duckplyr:::rel_try(...)
8. │ │ └─base::force(rel)
9. │ └─dplyr:::tally_n(...)
10. │ └─rlang::quo_is_null(wt)
11. └─rlang::abort(message = message)
── Failure ('test-tpch.R:247:3'): TPCH queries can be parsed and run with overwriting ──
Expected `{ ... }` not to throw any errors.
Actually got a <rlang_error> with message:
`quo` must be a quosure
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-tpch.R:247:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─duckplyr:::tpch_21() at test-tpch.R:268:5
8. │ └─... %>% filter(n_supplier > 1)
9. ├─dplyr::filter(., n_supplier > 1)
10. ├─dplyr::summarise(., n_supplier = n(), .by = l_orderkey)
11. ├─dplyr::count(., l_orderkey, l_suppkey)
12. ├─duckplyr (local) count.data.frame(., l_orderkey, l_suppkey)
13. │ ├─duckplyr:::rel_try(...)
14. │ │ └─base::force(rel)
15. │ └─dplyr:::tally_n(...)
16. │ └─rlang::quo_is_null(wt)
17. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:268:3'): as_duckplyr_df_impl() and count() ────
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count() at test-as_duckplyr_df.R:268:3
2. ├─dplyr::count(.)
3. ├─duckplyr:::count.duckplyr_df(.)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:281:3'): as_duckplyr_df_impl() and count(a) ───
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(a) at test-as_duckplyr_df.R:281:3
2. ├─dplyr::count(., a)
3. ├─duckplyr:::count.duckplyr_df(., a)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:294:3'): as_duckplyr_df_impl() and count(b) ───
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(b) at test-as_duckplyr_df.R:294:3
2. ├─dplyr::count(., b)
3. ├─duckplyr:::count.duckplyr_df(., b)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:307:3'): as_duckplyr_df_impl() and count(g) ───
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(g) at test-as_duckplyr_df.R:307:3
2. ├─dplyr::count(., g)
3. ├─duckplyr:::count.duckplyr_df(., g)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:320:3'): as_duckplyr_df_impl() and count(g, a) ──
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(g, a) at test-as_duckplyr_df.R:320:3
2. ├─dplyr::count(., g, a)
3. ├─duckplyr:::count.duckplyr_df(., g, a)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:333:3'): as_duckplyr_df_impl() and count(b, g) ──
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(b, g) at test-as_duckplyr_df.R:333:3
2. ├─dplyr::count(., b, g)
3. ├─duckplyr:::count.duckplyr_df(., b, g)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-dplyr-count-tally.R:190:3'): .drop is deprecated ───────────────
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `.drop` argument of `add_count()` was deprecated in dplyr 1.0.0 and is now defunct.
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-dplyr-count-tally.R:190:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─duckplyr:::duckplyr_add_count(df, f, .drop = FALSE)
8. ├─dplyr::add_count(x, ...)
9. └─duckplyr:::add_count.duckplyr_df(x, ...)
10. └─dplyr::add_count(...)
11. └─dplyr:::add_count_impl(...)
12. └─lifecycle::deprecate_stop("1.0.0", "add_count(.drop = )", env = error_call)
13. └─lifecycle:::deprecate_stop0(msg)
14. └─rlang::cnd_signal(...)
── Error ('test-dplyr-across.R:571:3'): if_any() and if_all() do not enforce logical ──
Error in `filter(.data, ..., .by = { { .by } }, .preserve = .preserve)`: i In argument: `if_all(x:y, identity)`.
Caused by error in `if_all()`:
! `x` must be a logical vector, not the number 10.
── Failure ('test-dplyr-across.R:968:3'): if_any() and if_all() wrapped deal with no inputs or single inputs ──
Expected `duckplyr_filter(d, (if_any(starts_with("c"), ~FALSE)))` to equal `duckplyr_filter(d)`.
Differences:
`attr(actual, 'row.names')`:
`attr(expected, 'row.names')`: 1
`actual$x`:
`expected$x`: 1
── Failure ('test-dplyr-across.R:1150:3'): expand_if_across() expands lambdas ──
Expected `map(expand_if_across(quo), quo_squash)` to equal `alist(cyl > 4 | am > 4)`.
Differences:
`actual` is length 2
`expected` is length 1
`actual[[1]]` is a symbol
`expected[[1]]` is a call
`actual[[2]]` is a call
`expected[[2]]` is absent
── Failure ('test-dplyr-generics.R:150:3'): `dplyr_reconstruct()` retains attribute ordering of `template` ──
Expected `attributes(dplyr_reconstruct(df, df))` to be identical to `attributes(df)`.
Differences:
`names(actual)`: "names" "row.names" "class"
`names(expected)`: "names" "class" "row.names"
── Error ('test-dplyr-group-by.R:103:3'): .dots is soft deprecated ─────────────
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `.dots` argument of `group_by()` was deprecated in dplyr 1.0.0 and is now defunct.
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-dplyr-group-by.R:103:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─duckplyr:::duckplyr_group_by(df, .dots = "x")
8. ├─dplyr::group_by(.data, ...)
9. └─duckplyr:::group_by.duckplyr_df(.data, ...)
10. └─dplyr::group_by(.data, ..., .add = .add, .drop = .drop)
11. └─dplyr::group_by_prepare(.data, ..., .add = .add, error_call = current_env())
12. └─lifecycle::deprecate_stop("1.0.0", "group_by(.dots = )")
13. └─lifecycle:::deprecate_stop0(msg)
14. └─rlang::cnd_signal(...)
── Error ('test-dplyr-group-data.R:63:3'): duckplyr_group_keys(...) is deprecated ──
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `...` argument of `group_keys()` was deprecated in dplyr 1.0.0 and is now defunct.
i Please `group_by()` first
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-dplyr-group-data.R:63:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─df %>% duckplyr_group_keys(x)
8. └─duckplyr:::duckplyr_group_keys(., x)
9. ├─dplyr::group_keys(.tbl, ...)
10. └─duckplyr:::group_keys.duckplyr_df(.tbl, ...)
11. └─dplyr::group_keys(.tbl, ...)
12. └─lifecycle::deprecate_stop("1.0.0", "group_keys(... = )", details = "Please `group_by()` first")
13. └─lifecycle:::deprecate_stop0(msg)
14. └─rlang::cnd_signal(...)
── Error ('test-dplyr-group-data.R:86:3'): duckplyr_group_indices(...) still works though ──
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `...` argument of `group_indices()` was deprecated in dplyr 1.0.0 and is now defunct.
i Please `group_by()` first
Backtrace:
▆
1. ├─df %>% duckplyr_group_indices(x) at test-dplyr-group-data.R:86:3
2. └─duckplyr:::duckplyr_group_indices(., x)
3. ├─dplyr::group_indices(.data, ...)
4. └─duckplyr:::group_indices.duckplyr_df(.data, ...)
5. └─dplyr::group_indices(.data, ...)
6. └─lifecycle::deprecate_stop("1.0.0", "group_indices(... = )", details = "Please `group_by()` first")
7. └─lifecycle:::deprecate_stop0(msg)
8. └─rlang::cnd_signal(...)
── Failure ('test-dplyr-if-else.R:117:3'): `size` overrides the `condition` size ──
Expected `{ ... }` to throw a error.
Backtrace:
▆
1. └─testthat::expect_snapshot(...) at test-dplyr-if-else.R:117:3
2. └─testthat:::expect_snapshot_(...)
── Error ('test-dplyr-join-rows.R:440:3'): `multiple = NULL` is deprecated and results in `'all'` (#6731) ──
Error in `vctrs::vec_locate_matches(needles = needles, haystack = haystack, condition = condition, filter = filter, incomplete = incomplete, no_match = no_match, remaining = remaining, multiple = multiple, relationship = relationship, needles_arg = needles_arg, haystack_arg = haystack_arg, nan_distinct = TRUE)`: `multiple` must be a string.
Backtrace:
▆
1. ├─dplyr:::join_rows(df1, df2, multiple = NULL)
2. │ └─dplyr:::dplyr_locate_matches(...)
3. │ ├─base::withCallingHandlers(...)
4. │ └─vctrs::vec_locate_matches(...)
5. └─rlang::abort(message = message, call = call)
── Error ('test-dplyr-select-helpers.R:20:3'): group_cols(vars) is deprecated ──
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `vars` argument of `group_cols()` was deprecated in dplyr 1.0.0 and is now defunct.
i Use `data` with entire dataframe instead
Backtrace:
▆
1. ├─testthat::expect_warning(out <- group_cols("a"), "deprecated") at test-dplyr-select-helpers.R:20:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─dplyr::group_cols("a")
8. └─dplyr:::group_cols_legacy(vars)
9. └─lifecycle::deprecate_stop("1.0.0", "group_cols(vars = )", details = "Use `data` with entire dataframe instead")
10. └─lifecycle:::deprecate_stop0(msg)
11. └─rlang::cnd_signal(...)
── Error ('test-dplyr-summarise.R:20:3'): inputs are recycled (deprecated in 1.1.0) ──
Error in `summarise(.data, ..., .by = { { .by } }, .groups = .groups)`: i In argument: `y = 1:3`.
Caused by error:
! `y` must be size 1, not 3.
i To return more or less than 1 row per group, use `reframe()`.
Backtrace:
▆
1. ├─testthat::expect_equal(...) at test-dplyr-summarise.R:20:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─tibble() %>% duckplyr_summarise(x = 1, y = 1:3, z = 1)
5. ├─duckplyr:::duckplyr_summarise(., x = 1, y = 1:3, z = 1)
6. │ ├─dplyr::summarise(.data, ...)
7. │ └─duckplyr:::summarise.duckplyr_df(.data, ...)
8. │ └─dplyr::summarise(...)
9. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
10. │ └─base::withCallingHandlers(...)
11. ├─dplyr:::dplyr_internal_error(...)
12. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
13. │ └─rlang:::signal_abort(cnd, .file)
14. │ └─base::signalCondition(cnd)
15. └─dplyr (local) `<fn>`(`<dpl:::__>`)
16. └─dplyr (local) handler(cnd)
17. └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
── Error ('test-dplyr-summarise.R:152:3'): named data frame results with 0 columns participate in recycling (#6509) ──
Error in `summarise(.data, ..., .by = { { .by } }, .groups = .groups)`: i In argument: `empty = empty`.
Caused by error:
! `empty` must be size 1, not 0.
i To return more or less than 1 row per group, use `reframe()`.
Backtrace:
▆
1. ├─testthat::expect_identical(...) at test-dplyr-summarise.R:152:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─duckplyr:::duckplyr_summarise(df, empty = empty)
5. │ ├─dplyr::summarise(.data, ...)
6. │ └─duckplyr:::summarise.duckplyr_df(.data, ...)
7. │ └─dplyr::summarise(...)
8. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
9. │ └─base::withCallingHandlers(...)
10. ├─dplyr:::dplyr_internal_error(...)
11. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
12. │ └─rlang:::signal_abort(cnd, .file)
13. │ └─base::signalCondition(cnd)
14. └─dplyr (local) `<fn>`(`<dpl:::__>`)
15. └─dplyr (local) handler(cnd)
16. └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
── Error ('test-dplyr-summarise.R:569:3'): non-summary results are deprecated in favor of `duckplyr_reframe()` (#6382) ──
Error in `summarise(.data, ..., .by = { { .by } }, .groups = .groups)`: i In argument: `x = which(x < 3)`.
Caused by error:
! `x` must be size 1, not 2.
i To return more or less than 1 row per group, use `reframe()`.
Backtrace:
▆
1. ├─duckplyr:::duckplyr_summarise(df, x = which(x < 3))
2. │ ├─dplyr::summarise(.data, ...)
3. │ └─duckplyr:::summarise.duckplyr_df(.data, ...)
4. │ └─dplyr::summarise(...)
5. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
6. │ └─base::withCallingHandlers(...)
7. ├─dplyr:::dplyr_internal_error(...)
8. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
9. │ └─rlang:::signal_abort(cnd, .file)
10. │ └─base::signalCondition(cnd)
11. └─dplyr (local) `<fn>`(`<dpl:::__>`)
12. └─dplyr (local) handler(cnd)
13. └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
── Error ('test-prudence.R:43:3'): prudence after operation with failure ───────
Error in `count(., x)`: This operation cannot be carried out by DuckDB, and the input is a stingy duckplyr frame.
i Use `compute(prudence = "lavish")` to materialize to temporary storage and continue with duckplyr.
i See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
── Error ('test-prudence.R:52:3'): prudence after operation with success ───────
Error in `count(.)`: This operation cannot be carried out by DuckDB, and the input is a stingy duckplyr frame.
i Use `compute(prudence = "lavish")` to materialize to temporary storage and continue with duckplyr.
i See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
[ FAIL 24 | WARN 46 | SKIP 593 | PASS 2316 ]
Error:
! Test failures.
🛠: 2235
🔨: 1205
🦆: 1030
add_count, anti_join, arrange, arrange.data.frame, compute, count, count.data.frame, cross_join, distinct, distinct.data.frame, do, eval, filter, filter.data.frame, full_join, group_by, group_indices, group_keys, group_map, group_modify, group_nest, group_size, group_split, group_trim, head, inner_join, inner_join.data.frame, intersect, left_join, left_join.data.frame, mutate, mutate.data.frame, n_groups, nest_by, nest_join, pull, reframe, relocate, rename, rename_with, right_join, rows_append, rows_delete, rows_insert, rows_patch, rows_update, rows_upsert, rowwise, select, select.data.frame, semi_join, semi_join.data.frame, setdiff, setequal, slice, slice_head, slice_head.data.frame, slice_sample, slice_tail, summarise, summarise.data.frame, symdiff, transmute, ungroup, union_all
00:07:22.232444
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.1.3
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘developers.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘developers.Rmd’
--- re-building ‘duckdb.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘duckdb.Rmd’
--- re-building ‘extend.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘extend.Rmd’
--- re-building ‘fallback.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘fallback.Rmd’
--- re-building ‘large.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘large.Rmd’
--- re-building ‘limits.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘limits.Rmd’
--- re-building ‘prudence.Rmd’ using rmarkdown
Quitting from prudence.Rmd:288-292 [unnamed-chunk-16]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `count()`:
! This operation cannot be carried out by DuckDB, and the input is a
stingy duckplyr frame.
ℹ Use `compute(prudence = "lavish")` to materialize to temporary storage and
continue with duckplyr.
ℹ See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
---
Backtrace:
▆
1. ├─base::nrow(count(flights_partial, origin))
2. ├─dplyr::count(flights_partial, origin)
3. ├─duckplyr:::count.duckplyr_df(flights_partial, origin)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─rlang::try_fetch(rel, error = identity)
6. │ │ ├─base::tryCatch(...)
7. │ │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
8. │ │ │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
9. │ │ │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
10. │ │ └─base::withCallingHandlers(...)
11. │ └─dplyr:::tally_n(...)
12. │ └─rlang::quo_is_null(wt)
13. └─rlang::abort(message = message)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'prudence.Rmd' failed with diagnostics:
This operation cannot be carried out by DuckDB, and the input is a
stingy duckplyr frame.
ℹ Use `compute(prudence = "lavish")` to materialize to temporary storage and
continue with duckplyr.
ℹ See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
--- failed re-building ‘prudence.Rmd’
--- re-building ‘telemetry.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘telemetry.Rmd’
SUMMARY: processing the following file failed:
‘prudence.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.1.3
Check: tests
Result: ERROR
Running ‘testthat.R’ [6m/16m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(duckplyr)
Loading required package: dplyr
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
The duckplyr package is configured to fall back to dplyr when it encounters an
incompatibility. Fallback events can be collected and uploaded for analysis to
guide future development. By default, data will be collected but no data will
be uploaded.
ℹ Automatic fallback uploading is not controlled and therefore disabled, see
`?duckplyr::fallback()`.
✔ Number of reports ready for upload: 5.
→ Review with `duckplyr::fallback_review()`, upload with
`duckplyr::fallback_upload()`.
ℹ Configure automatic uploading with `duckplyr::fallback_config()`.
✔ Overwriting dplyr methods with duckplyr methods.
ℹ Turn off with `duckplyr::methods_restore()`.
>
> test_check("duckplyr")
Saving _problems/test-tpch-133.R
Saving _problems/test-tpch-270.R
Saving _problems/test-as_duckplyr_df-268.R
Saving _problems/test-as_duckplyr_df-281.R
Saving _problems/test-as_duckplyr_df-294.R
Saving _problems/test-as_duckplyr_df-307.R
Saving _problems/test-as_duckplyr_df-320.R
Saving _problems/test-as_duckplyr_df-333.R
Saving _problems/test-dplyr-count-tally-190.R
Saving _problems/test-dplyr-across-571.R
Saving _problems/test-dplyr-across-971.R
Saving _problems/test-dplyr-across-1153.R
Saving _problems/test-dplyr-generics-153.R
Saving _problems/test-dplyr-group-by-103.R
Saving _problems/test-dplyr-group-data-63.R
Saving _problems/test-dplyr-group-data-86.R
Saving _problems/test-dplyr-if-else-119.R
Saving _problems/test-dplyr-join-rows-442.R
Saving _problems/test-dplyr-select-helpers-20.R
Saving _problems/test-dplyr-summarise-23.R
Saving _problems/test-dplyr-summarise-152.R
Saving _problems/test-dplyr-summarise-571.R
Saving _problems/test-prudence-44.R
Saving _problems/test-prudence-53.R
[ FAIL 24 | WARN 46 | SKIP 592 | PASS 2317 ]
══ Skipped tests (592) ═════════════════════════════════════════════════════════
• Always returns tibble (1): 'test-as_duckplyr_df.R:743:3'
• External vector? (4): 'test-as_duckplyr_df.R:2366:3',
'test-as_duckplyr_df.R:2382:3', 'test-as_duckplyr_df.R:2396:3',
'test-as_duckplyr_df.R:2412:3'
• Grouped (4): 'test-as_duckplyr_df.R:669:3', 'test-as_duckplyr_df.R:727:3',
'test-as_duckplyr_df.R:789:3', 'test-as_duckplyr_df.R:2658:3'
• Hack (1): 'test-as_duckplyr_df.R:560:3'
• Missing or empty names not allowed. (6): 'test-dplyr-mutate.R:909:3',
'test-dplyr-filter.R:653:3', 'test-dplyr-select.R:47:3',
'test-dplyr-select.R:143:3', 'test-dplyr-select.R:152:3',
'test-dplyr-summarise.R:469:3'
• Must pass a plain data frame or a tibble, not NULL. (1):
'test-dplyr-copy-to.R:19:3'
• Must pass a plain data frame or a tibble, not a <dplyr_foobar> object. (2):
'test-dplyr-filter.R:584:3', 'test-dplyr-arrange.R:306:3'
• Must pass a plain data frame or a tibble, not a <dplyr_test_broken_operator>
object. (1): 'test-dplyr-select.R:183:3'
• Must pass a plain data frame or a tibble, not a <foo_df> object. (4):
'test-dplyr-filter.R:573:3', 'test-dplyr-arrange.R:295:3',
'test-dplyr-group-split.R:122:3', 'test-dplyr-group-split.R:137:3'
• Must pass a plain data frame or a tibble, not a <grouped_df> object. (205):
'test-dplyr-mutate.R:14:3', 'test-dplyr-mutate.R:56:3',
'test-dplyr-mutate.R:84:3', 'test-dplyr-mutate.R:116:3',
'test-dplyr-mutate.R:156:3', 'test-dplyr-mutate.R:176:3',
'test-dplyr-mutate.R:249:3', 'test-dplyr-mutate.R:263:3',
'test-dplyr-mutate.R:300:3', 'test-dplyr-mutate.R:309:3',
'test-dplyr-mutate.R:321:3', 'test-dplyr-mutate.R:407:3',
'test-dplyr-mutate.R:432:3', 'test-dplyr-mutate.R:462:3',
'test-dplyr-mutate.R:492:3', 'test-dplyr-mutate.R:587:3',
'test-dplyr-mutate.R:634:3', 'test-dplyr-mutate.R:643:3',
'test-dplyr-mutate.R:672:3', 'test-dplyr-mutate.R:681:3',
'test-dplyr-mutate.R:702:3', 'test-dplyr-mutate.R:753:3',
'test-dplyr-mutate.R:778:3', 'test-dplyr-mutate.R:799:3',
'test-dplyr-mutate.R:899:3', 'test-dplyr-filter.R:15:5',
'test-dplyr-filter.R:34:3', 'test-dplyr-filter.R:61:3',
'test-dplyr-filter.R:124:3', 'test-dplyr-filter.R:164:3',
'test-dplyr-filter.R:191:3', 'test-dplyr-filter.R:235:3',
'test-dplyr-filter.R:243:3', 'test-dplyr-filter.R:309:3',
'test-dplyr-filter.R:325:3', 'test-dplyr-filter.R:367:3',
'test-dplyr-filter.R:418:3', 'test-dplyr-filter.R:443:3',
'test-dplyr-filter.R:550:3', 'test-dplyr-filter.R:626:3',
'test-dplyr-filter.R:638:3', 'test-dplyr-filter.R:709:3',
'test-dplyr-count-tally.R:64:3', 'test-dplyr-count-tally.R:73:3',
'test-dplyr-count-tally.R:84:3', 'test-dplyr-count-tally.R:166:3',
'test-dplyr-count-tally.R:182:3', 'test-dplyr-across.R:21:3',
'test-dplyr-across.R:28:3', 'test-dplyr-across.R:222:3',
'test-dplyr-across.R:330:3', 'test-dplyr-across.R:340:3',
'test-dplyr-across.R:685:3', 'test-dplyr-across.R:700:5',
'test-dplyr-across.R:1104:3', 'test-dplyr-across.R:1197:3',
'test-dplyr-across.R:1235:3', 'test-dplyr-across.R:1262:3',
'test-dplyr-across.R:1412:3', 'test-dplyr-across.R:1426:3',
'test-dplyr-arrange.R:16:3', 'test-dplyr-arrange.R:213:3',
'test-dplyr-arrange.R:220:3', 'test-dplyr-arrange.R:226:3',
'test-dplyr-arrange.R:344:3', 'test-dplyr-arrange.R:388:3',
'test-dplyr-bind-rows.R:88:3', 'test-dplyr-conditions.R:10:3',
'test-dplyr-context.R:16:3', 'test-dplyr-context.R:30:3',
'test-dplyr-context.R:38:3', 'test-dplyr-context.R:57:3',
'test-dplyr-distinct.R:57:3', 'test-dplyr-distinct.R:63:3',
'test-dplyr-distinct.R:71:3', 'test-dplyr-distinct.R:122:3',
'test-dplyr-distinct.R:163:3', 'test-dplyr-group-by.R:14:3',
'test-dplyr-group-by.R:25:3', 'test-dplyr-group-by.R:54:3',
'test-dplyr-group-by.R:65:3', 'test-dplyr-group-by.R:77:3',
'test-dplyr-group-by.R:86:3', 'test-dplyr-group-by.R:94:3',
'test-dplyr-group-by.R:124:5', 'test-dplyr-group-by.R:132:3',
'test-dplyr-group-by.R:176:3', 'test-dplyr-group-by.R:187:3',
'test-dplyr-group-by.R:202:3', 'test-dplyr-group-by.R:235:3',
'test-dplyr-group-by.R:252:3', 'test-dplyr-group-by.R:283:7',
'test-dplyr-group-by.R:298:3', 'test-dplyr-group-by.R:317:3',
'test-dplyr-group-by.R:325:3', 'test-dplyr-group-by.R:355:3',
'test-dplyr-group-by.R:365:3', 'test-dplyr-group-by.R:375:3',
'test-dplyr-group-by.R:381:3', 'test-dplyr-group-by.R:387:3',
'test-dplyr-group-by.R:424:3', 'test-dplyr-group-by.R:444:3',
'test-dplyr-group-by.R:467:3', 'test-dplyr-group-by.R:485:3',
'test-dplyr-group-by.R:503:3', 'test-dplyr-group-by.R:590:3',
'test-dplyr-group-by.R:614:3', 'test-dplyr-group-data.R:56:3',
'test-dplyr-group-data.R:95:3', 'test-dplyr-group-data.R:103:3',
'test-dplyr-group-data.R:123:3', 'test-dplyr-group-data.R:131:3',
'test-dplyr-group-map.R:9:3', 'test-dplyr-group-map.R:27:3',
'test-dplyr-group-map.R:41:3', 'test-dplyr-group-map.R:66:3',
'test-dplyr-group-map.R:78:3', 'test-dplyr-group-map.R:90:3',
'test-dplyr-group-map.R:111:3', 'test-dplyr-group-map.R:127:3',
'test-dplyr-group-nest.R:35:3', 'test-dplyr-group-nest.R:49:3',
'test-dplyr-group-split.R:40:3', 'test-dplyr-group-split.R:50:3',
'test-dplyr-group-split.R:79:3', 'test-dplyr-group-split.R:104:3',
'test-dplyr-group-trim.R:13:3', 'test-dplyr-group-trim.R:21:3',
'test-dplyr-grouped-df.R:13:3', 'test-dplyr-grouped-df.R:99:3',
'test-dplyr-join.R:630:3', 'test-dplyr-join.R:652:3',
'test-dplyr-join.R:675:3', 'test-dplyr-nest-by.R:26:3',
'test-dplyr-pick.R:40:3', 'test-dplyr-pick.R:77:3',
'test-dplyr-pick.R:100:3', 'test-dplyr-pick.R:141:3',
'test-dplyr-pick.R:166:3', 'test-dplyr-pick.R:199:3',
'test-dplyr-pick.R:223:3', 'test-dplyr-pick.R:271:3',
'test-dplyr-pick.R:377:3', 'test-dplyr-rank.R:58:3',
'test-dplyr-rank.R:104:3', 'test-dplyr-reframe.R:33:3',
'test-dplyr-reframe.R:51:3', 'test-dplyr-reframe.R:85:3',
'test-dplyr-reframe.R:101:3', 'test-dplyr-reframe.R:123:3',
'test-dplyr-reframe.R:136:3', 'test-dplyr-reframe.R:211:3',
'test-dplyr-reframe.R:219:3', 'test-dplyr-reframe.R:231:3',
'test-dplyr-reframe.R:241:3', 'test-dplyr-reframe.R:296:3',
'test-dplyr-rename.R:16:3', 'test-dplyr-rename.R:38:3',
'test-dplyr-rowwise.R:69:3', 'test-dplyr-sample.R:28:3',
'test-dplyr-sample.R:46:3', 'test-dplyr-sample.R:100:3',
'test-dplyr-select-helpers.R:13:3', 'test-dplyr-select.R:11:3',
'test-dplyr-select.R:19:3', 'test-dplyr-select.R:35:3',
'test-dplyr-select.R:94:3', 'test-dplyr-select.R:113:3',
'test-dplyr-sets.R:45:3', 'test-dplyr-slice.R:15:3',
'test-dplyr-slice.R:28:3', 'test-dplyr-slice.R:38:3',
'test-dplyr-slice.R:55:3', 'test-dplyr-slice.R:86:3',
'test-dplyr-slice.R:106:3', 'test-dplyr-slice.R:130:3',
'test-dplyr-slice.R:142:3', 'test-dplyr-slice.R:209:3',
'test-dplyr-slice.R:341:3', 'test-dplyr-slice.R:400:3',
'test-dplyr-slice.R:594:3', 'test-dplyr-slice.R:620:3',
'test-dplyr-slice.R:641:3', 'test-dplyr-summarise.R:52:3',
'test-dplyr-summarise.R:68:3', 'test-dplyr-summarise.R:83:3',
'test-dplyr-summarise.R:126:3', 'test-dplyr-summarise.R:200:3',
'test-dplyr-summarise.R:219:3', 'test-dplyr-summarise.R:236:3',
'test-dplyr-summarise.R:241:3', 'test-dplyr-summarise.R:251:3',
'test-dplyr-summarise.R:265:3', 'test-dplyr-summarise.R:271:3',
'test-dplyr-summarise.R:302:3', 'test-dplyr-summarise.R:314:3',
'test-dplyr-summarise.R:354:3', 'test-dplyr-summarise.R:367:3',
'test-dplyr-summarise.R:375:3', 'test-dplyr-summarise.R:435:3',
'test-dplyr-transmute.R:9:3', 'test-dplyr-transmute.R:16:3',
'test-dplyr-transmute.R:34:3', 'test-dplyr-transmute.R:56:3',
'test-dplyr-transmute.R:89:3'
• Must pass a plain data frame or a tibble, not a <myclass> object. (1):
'test-dplyr-summarise.R:92:3'
• Must pass a plain data frame or a tibble, not a <noisy> object. (1):
'test-dplyr-slice.R:386:3'
• Must pass a plain data frame or a tibble, not a <rowwise_df> object. (34):
'test-dplyr-mutate.R:336:3', 'test-dplyr-mutate.R:367:3',
'test-dplyr-mutate.R:373:3', 'test-dplyr-mutate.R:380:3',
'test-dplyr-mutate.R:414:3', 'test-dplyr-mutate.R:472:3',
'test-dplyr-mutate.R:596:3', 'test-dplyr-mutate.R:742:3',
'test-dplyr-mutate.R:767:3', 'test-dplyr-mutate.R:784:3',
'test-dplyr-filter.R:229:3', 'test-dplyr-filter.R:718:3',
'test-dplyr-across.R:1163:3', 'test-dplyr-across.R:1289:3',
'test-dplyr-group-by.R:267:3', 'test-dplyr-group-data.R:117:3',
'test-dplyr-group-split.R:44:3', 'test-dplyr-group-split.R:111:3',
'test-dplyr-join.R:499:3', 'test-dplyr-join.R:685:3',
'test-dplyr-nest-by.R:13:3', 'test-dplyr-pick.R:65:3',
'test-dplyr-pick.R:88:3', 'test-dplyr-pick.R:332:3',
'test-dplyr-reframe.R:249:3', 'test-dplyr-reframe.R:259:3',
'test-dplyr-reframe.R:268:3', 'test-dplyr-reframe.R:305:3',
'test-dplyr-rowwise.R:11:3', 'test-dplyr-rowwise.R:46:3',
'test-dplyr-rowwise.R:78:3', 'test-dplyr-slice.R:218:3',
'test-dplyr-summarise.R:285:3', 'test-dplyr-summarise.R:444:3'
• Must pass a plain data frame or a tibble, not a <tbl_SQLiteConnection>
object. (2): 'test-dplyr-count-tally.R:96:3',
'test-dplyr-count-tally.R:112:3'
• Must pass a plain data frame or a tibble, not a character vector. (1):
'test-dplyr-group-nest.R:19:3'
• Must pass a plain data frame or a tibble, not a number. (1):
'test-dplyr-sets.R:143:3'
• Must pass a plain data frame or a tibble, not an integer vector. (1):
'test-dplyr-sets.R:53:3'
• On CRAN (269): 'test-dplyr-mutate.R:200:1', 'test-dplyr-filter.R:424:1',
'test-dplyr-filter.R:433:1', 'test-dplyr-filter.R:697:1',
'test-dplyr-filter.R:723:1', 'test-dplyr-count-tally.R:51:1',
'test-dplyr-count-tally.R:141:1', 'test-dplyr-count-tally.R:169:1',
'test-dplyr-count-tally.R:193:1', 'test-dplyr-count-tally.R:225:1',
'test-as_duckplyr_tibble.R:1:1', 'test-as_duckplyr_tibble.R:15:1',
'test-compute.R:1:1', 'test-demo.R:1:1', 'test-dplyr-across.R:143:1',
'test-dplyr-across.R:156:1', 'test-dplyr-across.R:227:1',
'test-dplyr-across.R:621:1', 'test-dplyr-across.R:758:1',
'test-dplyr-across.R:795:1', 'test-dplyr-across.R:1183:1',
'test-dplyr-across.R:1321:1', 'test-dplyr-across.R:1333:1',
'test-dplyr-all-equal.R:8:1', 'test-dplyr-all-equal.R:32:1',
'test-dplyr-all-equal.R:41:1', 'test-dplyr-all-equal.R:50:1',
'test-dplyr-all-equal.R:60:1', 'test-dplyr-all-equal.R:114:1',
'test-dplyr-all-equal.R:143:1', 'test-dplyr-all-equal.R:155:1',
'test-dplyr-all-equal.R:167:1', 'test-dplyr-all-equal.R:175:1',
'test-dplyr-arrange.R:34:1', 'test-dplyr-arrange.R:175:1',
'test-dplyr-arrange.R:181:1', 'test-dplyr-arrange.R:193:1',
'test-dplyr-arrange.R:326:1', 'test-dplyr-bind-cols.R:46:1',
'test-dplyr-bind-cols.R:122:1', 'test-dplyr-bind-cols.R:138:1',
'test-dplyr-bind-rows.R:140:1', 'test-dplyr-bind-rows.R:155:1',
'test-dplyr-bind-rows.R:248:1', 'test-dplyr-by.R:74:1',
'test-dplyr-by.R:82:1', 'test-dplyr-by.R:91:1', 'test-dplyr-by.R:100:1',
'test-dplyr-case-match.R:29:1', 'test-dplyr-case-match.R:44:1',
'test-dplyr-case-match.R:56:1', 'test-dplyr-case-match.R:65:1',
'test-dplyr-case-when.R:222:1', 'test-dplyr-case-when.R:231:1',
'test-dplyr-case-when.R:243:1', 'test-dplyr-case-when.R:253:1',
'test-dplyr-case-when.R:259:1', 'test-dplyr-case-when.R:268:1',
'test-dplyr-case-when.R:277:1', 'test-dplyr-coalesce.R:32:1',
'test-dplyr-coalesce.R:94:1', 'test-dplyr-coalesce.R:102:1',
'test-dplyr-coalesce.R:118:1', 'test-dplyr-coalesce.R:124:1',
'test-dplyr-conditions.R:45:1', 'test-dplyr-consecutive-id.R:17:1',
'test-dplyr-consecutive-id.R:26:1', 'test-dplyr-context.R:63:1',
'test-dplyr-desc.R:8:1', 'test-dplyr-distinct.R:185:1',
'test-dplyr-funs.R:60:1', 'test-dplyr-funs.R:75:1',
'test-dplyr-grouped-df.R:123:1', 'test-dplyr-grouped-df.R:193:1',
'test-dplyr-if-else.R:53:1', 'test-dplyr-if-else.R:61:1',
'test-dplyr-if-else.R:78:1', 'test-dplyr-if-else.R:84:1',
'test-dplyr-if-else.R:99:1', 'test-dplyr-if-else.R:105:1',
'test-dplyr-join-by.R:195:1', 'test-dplyr-join-by.R:239:1',
'test-dplyr-join-by.R:246:1', 'test-dplyr-join-by.R:263:1',
'test-dplyr-join-by.R:271:1', 'test-dplyr-join-by.R:358:1',
'test-dplyr-join-by.R:373:1', 'test-dplyr-join-cols.R:90:1',
'test-dplyr-join-cols.R:131:1', 'test-dplyr-join-cols.R:136:1',
'test-dplyr-join-cols.R:196:1', 'test-dplyr-join-cross.R:57:1',
'test-dplyr-join-rows.R:8:1', 'test-dplyr-join-rows.R:155:1',
'test-dplyr-join-rows.R:170:1', 'test-dplyr-join-rows.R:178:1',
'test-dplyr-join-rows.R:187:1', 'test-dplyr-join-rows.R:193:1',
'test-dplyr-join-rows.R:212:1', 'test-dplyr-join-rows.R:276:1',
'test-dplyr-join-rows.R:386:1', 'test-dplyr-join-rows.R:405:1',
'test-dplyr-join-rows.R:422:3', 'test-dplyr-join-rows.R:451:1',
'test-dplyr-join-rows.R:463:1', 'test-dplyr-join.R:152:1',
'test-dplyr-join.R:340:1', 'test-dplyr-join.R:352:1',
'test-dplyr-join.R:387:1', 'test-dplyr-join.R:393:1',
'test-dplyr-join.R:449:1', 'test-dplyr-join.R:458:1',
'test-dplyr-join.R:467:1', 'test-dplyr-join.R:516:1',
'test-dplyr-join.R:552:1', 'test-dplyr-join.R:602:1',
'test-dplyr-join.R:704:1', 'test-dplyr-join.R:716:1',
'test-dplyr-join.R:727:1', 'test-dplyr-join.R:748:1',
'test-dplyr-join.R:765:1', 'test-dplyr-lead-lag.R:26:1',
'test-dplyr-lead-lag.R:59:1', 'test-dplyr-lead-lag.R:70:1',
'test-dplyr-lead-lag.R:79:1', 'test-dplyr-n-distinct.R:46:1',
'test-dplyr-na-if.R:67:1', 'test-dplyr-na-if.R:75:1',
'test-dplyr-na-if.R:87:1', 'test-dplyr-nth-value.R:145:1',
'test-dplyr-nth-value.R:154:1', 'test-dplyr-nth-value.R:160:1',
'test-dplyr-nth-value.R:166:1', 'test-dplyr-nth-value.R:178:1',
'test-dplyr-nth-value.R:184:1', 'test-dplyr-order-by.R:8:1',
'test-dplyr-order-by.R:22:1', 'test-dplyr-order-by.R:50:1',
'test-dplyr-pick.R:148:1', 'test-dplyr-pick.R:306:1',
'test-dplyr-pick.R:336:1', 'test-dplyr-pick.R:346:1',
'test-dplyr-pick.R:462:1', 'test-dplyr-pick.R:486:1',
'test-dplyr-pick.R:497:1', 'test-dplyr-rank.R:107:1',
'test-dplyr-relocate.R:34:1', 'test-dplyr-rename.R:77:1',
'test-dplyr-rename.R:87:1', 'test-dplyr-rename.R:97:1',
'test-dplyr-rows.R:20:1', 'test-dplyr-rows.R:71:1', 'test-dplyr-rows.R:80:1',
'test-dplyr-rows.R:89:1', 'test-dplyr-rows.R:101:1',
'test-dplyr-rows.R:125:1', 'test-dplyr-rows.R:141:1',
'test-dplyr-rows.R:176:1', 'test-dplyr-rows.R:203:1',
'test-dplyr-rows.R:218:1', 'test-dplyr-rows.R:233:1',
'test-dplyr-rows.R:245:1', 'test-dplyr-rows.R:273:1',
'test-dplyr-rows.R:300:1', 'test-dplyr-rows.R:315:1',
'test-dplyr-rows.R:330:1', 'test-dplyr-rows.R:360:1',
'test-dplyr-rows.R:375:1', 'test-dplyr-rows.R:390:1',
'test-dplyr-rows.R:399:1', 'test-dplyr-rows.R:419:1',
'test-dplyr-rows.R:436:1', 'test-dplyr-rows.R:473:1',
'test-dplyr-rows.R:490:1', 'test-dplyr-rows.R:497:1',
'test-dplyr-rows.R:503:1', 'test-dplyr-rows.R:513:1',
'test-dplyr-rows.R:523:1', 'test-dplyr-rows.R:532:1',
'test-dplyr-rowwise.R:62:1', 'test-dplyr-rowwise.R:94:1',
'test-dplyr-sample.R:109:1', 'test-dplyr-select.R:164:1',
'test-dplyr-sets.R:62:1', 'test-dplyr-sets.R:75:1', 'test-dplyr-sets.R:89:1',
'test-dplyr-sets.R:129:1', 'test-dplyr-sets.R:146:1',
'test-dplyr-slice.R:45:1', 'test-dplyr-slice.R:66:1',
'test-dplyr-slice.R:76:1', 'test-dplyr-slice.R:112:1',
'test-dplyr-slice.R:197:1', 'test-dplyr-slice.R:223:1',
'test-dplyr-slice.R:233:1', 'test-dplyr-slice.R:246:1',
'test-dplyr-slice.R:254:1', 'test-dplyr-slice.R:303:1',
'test-dplyr-slice.R:344:1', 'test-dplyr-slice.R:409:1',
'test-dplyr-slice.R:522:1', 'test-dplyr-slice.R:530:1',
'test-dplyr-slice.R:563:1', 'test-dplyr-slice.R:576:1',
'test-dplyr-summarise.R:423:1', 'test-dplyr-transmute.R:96:1',
'test-duckplyr-across.R:1:1', 'test-duckplyr.R:10:1', 'test-ducktbl.R:30:1',
'test-ducktbl.R:36:1', 'test-ducktbl.R:42:1', 'test-expr.R:2:3',
'test-fallback.R:1:1', 'test-fallback.R:17:1', 'test-fallback.R:33:1',
'test-fallback.R:49:1', 'test-fallback.R:62:1', 'test-fallback.R:81:1',
'test-fallback.R:109:1', 'test-fallback.R:126:1', 'test-fallback.R:143:1',
'test-fallback.R:160:1', 'test-fallback.R:174:1', 'test-fallback.R:186:1',
'test-fallback.R:198:1', 'test-fallback.R:210:1', 'test-fallback.R:226:1',
'test-fallback.R:242:1', 'test-fallback.R:290:1', 'test-handle_desc.R:19:1',
'test-handle_desc.R:28:1', 'test-n_distinct.R:111:1',
'test-n_distinct.R:125:1', 'test-n_distinct.R:138:1', 'test-overwrite.R:1:1',
'test-relational-duckdb.R:1:1', 'test-relational-duckdb.R:60:1',
'test-relational-duckdb.R:66:1', 'test-relational-duckdb.R:103:1',
'test-relational-rel.R:1:1', 'test-relational.R:1:1', 'test-telemetry.R:3:1',
'test-telemetry.R:40:1', 'test-telemetry.R:52:1', 'test-telemetry.R:64:1',
'test-telemetry.R:76:1', 'test-telemetry.R:93:1', 'test-telemetry.R:114:1',
'test-telemetry.R:136:1', 'test-telemetry.R:143:1', 'test-telemetry.R:165:1',
'test-telemetry.R:177:1', 'test-telemetry.R:194:1', 'test-telemetry.R:201:1',
'test-telemetry.R:223:1', 'test-telemetry.R:230:1', 'test-telemetry.R:247:1',
'test-telemetry.R:254:1', 'test-telemetry.R:271:1', 'test-telemetry.R:278:1',
'test-telemetry.R:285:1', 'test-telemetry.R:292:1', 'test-translate.R:9:1',
'test-translate.R:15:1', 'test-translate.R:21:1', 'test-translate.R:40:1',
'test-translate.R:132:1', 'test-translate.R:162:1', 'test-translate.R:199:1'
• Random seed (2): 'test-as_duckplyr_df.R:2136:3',
'test-as_duckplyr_df.R:2152:3'
• Special (5): 'test-as_duckplyr_df.R:683:3', 'test-as_duckplyr_df.R:699:3',
'test-as_duckplyr_df.R:759:3', 'test-as_duckplyr_df.R:834:3',
'test-as_duckplyr_df.R:1653:3'
• Stack overflow (1): 'test-as_duckplyr_df.R:2120:3'
• TODO duckdb (17): 'test-dplyr-mutate.R:438:3', 'test-dplyr-mutate.R:558:3',
'test-dplyr-across.R:911:3', 'test-dplyr-across.R:937:3',
'test-dplyr-all-equal.R:187:3', 'test-dplyr-copy-to.R:9:3',
'test-dplyr-funs.R:85:3', 'test-dplyr-funs.R:103:3',
'test-dplyr-generics.R:167:3', 'test-dplyr-group-by.R:570:3',
'test-dplyr-group-nest.R:53:3', 'test-dplyr-join-rows.R:200:3',
'test-dplyr-join.R:363:3', 'test-dplyr-join.R:369:3',
'test-dplyr-summarise.R:37:3', 'test-dplyr-summarise.R:337:3',
'test-dplyr-summarise.R:478:3'
• WAT (3): 'test-as_duckplyr_df.R:713:3', 'test-as_duckplyr_df.R:773:3',
'test-as_duckplyr_df.R:1667:3'
• Won't need (1): 'test-prom.R:2:3'
• argument ".data" is missing, with no default (1):
'test-dplyr-group-data.R:71:3'
• dplyr:::compute_groups() is only needed to test dplyr internals (4):
'test-dplyr-group-by.R:579:3', 'test-dplyr-grouped-df.R:202:3',
'test-dplyr-grouped-df.R:208:3', 'test-dplyr-grouped-df.R:219:3'
• dplyr:::err_locs() is only needed to test dplyr internals (1):
'test-dplyr-conditions.R:34:3'
• dplyr:::expand_pick() is only needed to test dplyr internals (2):
'test-dplyr-pick.R:552:3', 'test-dplyr-pick.R:569:3'
• dplyr:::group_labels_details() is only needed to test dplyr internals (1):
'test-dplyr-context.R:76:3'
• dplyr:::reset_dplyr_warnings() is only needed to test dplyr internals (4):
'test-dplyr-conditions.R:68:3', 'test-dplyr-conditions.R:135:3',
'test-dplyr-conditions.R:164:3', 'test-dplyr-conditions.R:188:3'
• dplyr:::shift() is only needed to test dplyr internals (9):
'test-dplyr-lead-lag.R:94:3', 'test-dplyr-lead-lag.R:104:3',
'test-dplyr-lead-lag.R:113:3', 'test-dplyr-lead-lag.R:125:3',
'test-dplyr-lead-lag.R:140:3', 'test-dplyr-lead-lag.R:151:3',
'test-dplyr-lead-lag.R:159:3', 'test-dplyr-lead-lag.R:168:3',
'test-dplyr-lead-lag.R:174:3'
• i In argument: `.result = (1 + "") * am`. (1): 'test-dplyr-conditions.R:25:5'
• i In argument: `n = base::sum(...)`. (1): 'test-dplyr-count-tally.R:127:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-tpch.R:110:3'): TPCH queries can be parsed and run ─────────────
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─duckplyr:::tpch_21()
2. │ └─... %>% filter(n_supplier > 1)
3. ├─dplyr::filter(., n_supplier > 1)
4. ├─dplyr::summarise(., n_supplier = n(), .by = l_orderkey)
5. ├─dplyr::count(., l_orderkey, l_suppkey)
6. ├─duckplyr:::count.duckplyr_df(., l_orderkey, l_suppkey)
7. │ ├─duckplyr:::rel_try(...)
8. │ │ └─base::force(rel)
9. │ └─dplyr:::tally_n(...)
10. │ └─rlang::quo_is_null(wt)
11. └─rlang::abort(message = message)
── Failure ('test-tpch.R:247:3'): TPCH queries can be parsed and run with overwriting ──
Expected `{ ... }` not to throw any errors.
Actually got a <rlang_error> with message:
`quo` must be a quosure
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-tpch.R:247:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─duckplyr:::tpch_21() at test-tpch.R:268:5
8. │ └─... %>% filter(n_supplier > 1)
9. ├─dplyr::filter(., n_supplier > 1)
10. ├─dplyr::summarise(., n_supplier = n(), .by = l_orderkey)
11. ├─dplyr::count(., l_orderkey, l_suppkey)
12. ├─duckplyr (local) count.data.frame(., l_orderkey, l_suppkey)
13. │ ├─duckplyr:::rel_try(...)
14. │ │ └─base::force(rel)
15. │ └─dplyr:::tally_n(...)
16. │ └─rlang::quo_is_null(wt)
17. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:268:3'): as_duckplyr_df_impl() and count() ────
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count() at test-as_duckplyr_df.R:268:3
2. ├─dplyr::count(.)
3. ├─duckplyr:::count.duckplyr_df(.)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:281:3'): as_duckplyr_df_impl() and count(a) ───
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(a) at test-as_duckplyr_df.R:281:3
2. ├─dplyr::count(., a)
3. ├─duckplyr:::count.duckplyr_df(., a)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:294:3'): as_duckplyr_df_impl() and count(b) ───
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(b) at test-as_duckplyr_df.R:294:3
2. ├─dplyr::count(., b)
3. ├─duckplyr:::count.duckplyr_df(., b)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:307:3'): as_duckplyr_df_impl() and count(g) ───
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(g) at test-as_duckplyr_df.R:307:3
2. ├─dplyr::count(., g)
3. ├─duckplyr:::count.duckplyr_df(., g)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:320:3'): as_duckplyr_df_impl() and count(g, a) ──
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(g, a) at test-as_duckplyr_df.R:320:3
2. ├─dplyr::count(., g, a)
3. ├─duckplyr:::count.duckplyr_df(., g, a)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-as_duckplyr_df.R:333:3'): as_duckplyr_df_impl() and count(b, g) ──
Error in `quo_is_null(wt)`: `quo` must be a quosure
Backtrace:
▆
1. ├─test_df %>% as_duckplyr_df_impl() %>% count(b, g) at test-as_duckplyr_df.R:333:3
2. ├─dplyr::count(., b, g)
3. ├─duckplyr:::count.duckplyr_df(., b, g)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─base::force(rel)
6. │ └─dplyr:::tally_n(...)
7. │ └─rlang::quo_is_null(wt)
8. └─rlang::abort(message = message)
── Error ('test-dplyr-count-tally.R:190:3'): .drop is deprecated ───────────────
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `.drop` argument of `add_count()` was deprecated in dplyr 1.0.0 and is now defunct.
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-dplyr-count-tally.R:190:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─duckplyr:::duckplyr_add_count(df, f, .drop = FALSE)
8. ├─dplyr::add_count(x, ...)
9. └─duckplyr:::add_count.duckplyr_df(x, ...)
10. └─dplyr::add_count(...)
11. └─dplyr:::add_count_impl(...)
12. └─lifecycle::deprecate_stop("1.0.0", "add_count(.drop = )", env = error_call)
13. └─lifecycle:::deprecate_stop0(msg)
14. └─rlang::cnd_signal(...)
── Error ('test-dplyr-across.R:571:3'): if_any() and if_all() do not enforce logical ──
Error in `filter(.data, ..., .by = { { .by } }, .preserve = .preserve)`: i In argument: `if_all(x:y, identity)`.
Caused by error in `if_all()`:
! `x` must be a logical vector, not the number 10.
── Failure ('test-dplyr-across.R:968:3'): if_any() and if_all() wrapped deal with no inputs or single inputs ──
Expected `duckplyr_filter(d, (if_any(starts_with("c"), ~FALSE)))` to equal `duckplyr_filter(d)`.
Differences:
`attr(actual, 'row.names')`:
`attr(expected, 'row.names')`: 1
`actual$x`:
`expected$x`: 1
── Failure ('test-dplyr-across.R:1150:3'): expand_if_across() expands lambdas ──
Expected `map(expand_if_across(quo), quo_squash)` to equal `alist(cyl > 4 | am > 4)`.
Differences:
`actual` is length 2
`expected` is length 1
`actual[[1]]` is a symbol
`expected[[1]]` is a call
`actual[[2]]` is a call
`expected[[2]]` is absent
── Failure ('test-dplyr-generics.R:150:3'): `dplyr_reconstruct()` retains attribute ordering of `template` ──
Expected `attributes(dplyr_reconstruct(df, df))` to be identical to `attributes(df)`.
Differences:
`names(actual)`: "names" "row.names" "class"
`names(expected)`: "names" "class" "row.names"
── Error ('test-dplyr-group-by.R:103:3'): .dots is soft deprecated ─────────────
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `.dots` argument of `group_by()` was deprecated in dplyr 1.0.0 and is now defunct.
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-dplyr-group-by.R:103:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─duckplyr:::duckplyr_group_by(df, .dots = "x")
8. ├─dplyr::group_by(.data, ...)
9. └─duckplyr:::group_by.duckplyr_df(.data, ...)
10. └─dplyr::group_by(.data, ..., .add = .add, .drop = .drop)
11. └─dplyr::group_by_prepare(.data, ..., .add = .add, error_call = current_env())
12. └─lifecycle::deprecate_stop("1.0.0", "group_by(.dots = )")
13. └─lifecycle:::deprecate_stop0(msg)
14. └─rlang::cnd_signal(...)
── Error ('test-dplyr-group-data.R:63:3'): duckplyr_group_keys(...) is deprecated ──
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `...` argument of `group_keys()` was deprecated in dplyr 1.0.0 and is now defunct.
i Please `group_by()` first
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-dplyr-group-data.R:63:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─df %>% duckplyr_group_keys(x)
8. └─duckplyr:::duckplyr_group_keys(., x)
9. ├─dplyr::group_keys(.tbl, ...)
10. └─duckplyr:::group_keys.duckplyr_df(.tbl, ...)
11. └─dplyr::group_keys(.tbl, ...)
12. └─lifecycle::deprecate_stop("1.0.0", "group_keys(... = )", details = "Please `group_by()` first")
13. └─lifecycle:::deprecate_stop0(msg)
14. └─rlang::cnd_signal(...)
── Error ('test-dplyr-group-data.R:86:3'): duckplyr_group_indices(...) still works though ──
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `...` argument of `group_indices()` was deprecated in dplyr 1.0.0 and is now defunct.
i Please `group_by()` first
Backtrace:
▆
1. ├─df %>% duckplyr_group_indices(x) at test-dplyr-group-data.R:86:3
2. └─duckplyr:::duckplyr_group_indices(., x)
3. ├─dplyr::group_indices(.data, ...)
4. └─duckplyr:::group_indices.duckplyr_df(.data, ...)
5. └─dplyr::group_indices(.data, ...)
6. └─lifecycle::deprecate_stop("1.0.0", "group_indices(... = )", details = "Please `group_by()` first")
7. └─lifecycle:::deprecate_stop0(msg)
8. └─rlang::cnd_signal(...)
── Failure ('test-dplyr-if-else.R:117:3'): `size` overrides the `condition` size ──
Expected `{ ... }` to throw a error.
Backtrace:
▆
1. └─testthat::expect_snapshot(...) at test-dplyr-if-else.R:117:3
2. └─testthat:::expect_snapshot_(...)
── Error ('test-dplyr-join-rows.R:440:3'): `multiple = NULL` is deprecated and results in `'all'` (#6731) ──
Error in `vctrs::vec_locate_matches(needles = needles, haystack = haystack, condition = condition, filter = filter, incomplete = incomplete, no_match = no_match, remaining = remaining, multiple = multiple, relationship = relationship, needles_arg = needles_arg, haystack_arg = haystack_arg, nan_distinct = TRUE)`: `multiple` must be a string.
Backtrace:
▆
1. ├─dplyr:::join_rows(df1, df2, multiple = NULL)
2. │ └─dplyr:::dplyr_locate_matches(...)
3. │ ├─base::withCallingHandlers(...)
4. │ └─vctrs::vec_locate_matches(...)
5. └─rlang::abort(message = message, call = call)
── Error ('test-dplyr-select-helpers.R:20:3'): group_cols(vars) is deprecated ──
<lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
Error: The `vars` argument of `group_cols()` was deprecated in dplyr 1.0.0 and is now defunct.
i Use `data` with entire dataframe instead
Backtrace:
▆
1. ├─testthat::expect_warning(out <- group_cols("a"), "deprecated") at test-dplyr-select-helpers.R:20:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─dplyr::group_cols("a")
8. └─dplyr:::group_cols_legacy(vars)
9. └─lifecycle::deprecate_stop("1.0.0", "group_cols(vars = )", details = "Use `data` with entire dataframe instead")
10. └─lifecycle:::deprecate_stop0(msg)
11. └─rlang::cnd_signal(...)
── Error ('test-dplyr-summarise.R:20:3'): inputs are recycled (deprecated in 1.1.0) ──
Error in `summarise(.data, ..., .by = { { .by } }, .groups = .groups)`: i In argument: `y = 1:3`.
Caused by error:
! `y` must be size 1, not 3.
i To return more or less than 1 row per group, use `reframe()`.
Backtrace:
▆
1. ├─testthat::expect_equal(...) at test-dplyr-summarise.R:20:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─tibble() %>% duckplyr_summarise(x = 1, y = 1:3, z = 1)
5. ├─duckplyr:::duckplyr_summarise(., x = 1, y = 1:3, z = 1)
6. │ ├─dplyr::summarise(.data, ...)
7. │ └─duckplyr:::summarise.duckplyr_df(.data, ...)
8. │ └─dplyr::summarise(...)
9. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
10. │ └─base::withCallingHandlers(...)
11. ├─dplyr:::dplyr_internal_error(...)
12. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
13. │ └─rlang:::signal_abort(cnd, .file)
14. │ └─base::signalCondition(cnd)
15. └─dplyr (local) `<fn>`(`<dpl:::__>`)
16. └─dplyr (local) handler(cnd)
17. └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
── Error ('test-dplyr-summarise.R:152:3'): named data frame results with 0 columns participate in recycling (#6509) ──
Error in `summarise(.data, ..., .by = { { .by } }, .groups = .groups)`: i In argument: `empty = empty`.
Caused by error:
! `empty` must be size 1, not 0.
i To return more or less than 1 row per group, use `reframe()`.
Backtrace:
▆
1. ├─testthat::expect_identical(...) at test-dplyr-summarise.R:152:3
2. │ └─testthat::quasi_label(enquo(object), label)
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─duckplyr:::duckplyr_summarise(df, empty = empty)
5. │ ├─dplyr::summarise(.data, ...)
6. │ └─duckplyr:::summarise.duckplyr_df(.data, ...)
7. │ └─dplyr::summarise(...)
8. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
9. │ └─base::withCallingHandlers(...)
10. ├─dplyr:::dplyr_internal_error(...)
11. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
12. │ └─rlang:::signal_abort(cnd, .file)
13. │ └─base::signalCondition(cnd)
14. └─dplyr (local) `<fn>`(`<dpl:::__>`)
15. └─dplyr (local) handler(cnd)
16. └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
── Error ('test-dplyr-summarise.R:569:3'): non-summary results are deprecated in favor of `duckplyr_reframe()` (#6382) ──
Error in `summarise(.data, ..., .by = { { .by } }, .groups = .groups)`: i In argument: `x = which(x < 3)`.
Caused by error:
! `x` must be size 1, not 2.
i To return more or less than 1 row per group, use `reframe()`.
Backtrace:
▆
1. ├─duckplyr:::duckplyr_summarise(df, x = which(x < 3))
2. │ ├─dplyr::summarise(.data, ...)
3. │ └─duckplyr:::summarise.duckplyr_df(.data, ...)
4. │ └─dplyr::summarise(...)
5. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
6. │ └─base::withCallingHandlers(...)
7. ├─dplyr:::dplyr_internal_error(...)
8. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
9. │ └─rlang:::signal_abort(cnd, .file)
10. │ └─base::signalCondition(cnd)
11. └─dplyr (local) `<fn>`(`<dpl:::__>`)
12. └─dplyr (local) handler(cnd)
13. └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
── Error ('test-prudence.R:43:3'): prudence after operation with failure ───────
Error in `count(., x)`: This operation cannot be carried out by DuckDB, and the input is a stingy duckplyr frame.
i Use `compute(prudence = "lavish")` to materialize to temporary storage and continue with duckplyr.
i See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
── Error ('test-prudence.R:52:3'): prudence after operation with success ───────
Error in `count(.)`: This operation cannot be carried out by DuckDB, and the input is a stingy duckplyr frame.
i Use `compute(prudence = "lavish")` to materialize to temporary storage and continue with duckplyr.
i See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
[ FAIL 24 | WARN 46 | SKIP 592 | PASS 2317 ]
Error:
! Test failures.
🛠: 2235
🔨: 1205
🦆: 1030
add_count, anti_join, arrange, arrange.data.frame, compute, count, count.data.frame, cross_join, distinct, distinct.data.frame, do, eval, filter, filter.data.frame, full_join, group_by, group_indices, group_keys, group_map, group_modify, group_nest, group_size, group_split, group_trim, head, inner_join, inner_join.data.frame, intersect, left_join, left_join.data.frame, mutate, mutate.data.frame, n_groups, nest_by, nest_join, pull, reframe, relocate, rename, rename_with, right_join, rows_append, rows_delete, rows_insert, rows_patch, rows_update, rows_upsert, rowwise, select, select.data.frame, semi_join, semi_join.data.frame, setdiff, setequal, slice, slice_head, slice_head.data.frame, slice_sample, slice_tail, summarise, summarise.data.frame, symdiff, transmute, ungroup, union_all
00:15:59.133413
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.1.3
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘developers.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘developers.Rmd’
--- re-building ‘duckdb.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘duckdb.Rmd’
--- re-building ‘extend.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘extend.Rmd’
--- re-building ‘fallback.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘fallback.Rmd’
--- re-building ‘large.Rmd’ using rmarkdown
Quitting from large.Rmd:321-325 [unnamed-chunk-23]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `count()`:
! This operation cannot be carried out by DuckDB, and the input is a
stingy duckplyr frame.
ℹ Use `compute(prudence = "lavish")` to materialize to temporary storage and
continue with duckplyr.
ℹ See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
---
Backtrace:
▆
1. ├─dplyr::group_by(count(flights_parquet, Month, DayofMonth), Month)
2. ├─dplyr::count(flights_parquet, Month, DayofMonth)
3. ├─duckplyr:::count.duckplyr_df(flights_parquet, Month, DayofMonth)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─rlang::try_fetch(rel, error = identity)
6. │ │ ├─base::tryCatch(...)
7. │ │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
8. │ │ │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
9. │ │ │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
10. │ │ └─base::withCallingHandlers(...)
11. │ └─dplyr:::tally_n(...)
12. │ └─rlang::quo_is_null(wt)
13. └─rlang::abort(message = message)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'large.Rmd' failed with diagnostics:
This operation cannot be carried out by DuckDB, and the input is a
stingy duckplyr frame.
ℹ Use `compute(prudence = "lavish")` to materialize to temporary storage and
continue with duckplyr.
ℹ See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
--- failed re-building ‘large.Rmd’
--- re-building ‘limits.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘limits.Rmd’
--- re-building ‘prudence.Rmd’ using rmarkdown
Quitting from prudence.Rmd:288-292 [unnamed-chunk-16]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `count()`:
! This operation cannot be carried out by DuckDB, and the input is a
stingy duckplyr frame.
ℹ Use `compute(prudence = "lavish")` to materialize to temporary storage and
continue with duckplyr.
ℹ See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
---
Backtrace:
▆
1. ├─base::nrow(count(flights_partial, origin))
2. ├─dplyr::count(flights_partial, origin)
3. ├─duckplyr:::count.duckplyr_df(flights_partial, origin)
4. │ ├─duckplyr:::rel_try(...)
5. │ │ └─rlang::try_fetch(rel, error = identity)
6. │ │ ├─base::tryCatch(...)
7. │ │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
8. │ │ │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
9. │ │ │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
10. │ │ └─base::withCallingHandlers(...)
11. │ └─dplyr:::tally_n(...)
12. │ └─rlang::quo_is_null(wt)
13. └─rlang::abort(message = message)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'prudence.Rmd' failed with diagnostics:
This operation cannot be carried out by DuckDB, and the input is a
stingy duckplyr frame.
ℹ Use `compute(prudence = "lavish")` to materialize to temporary storage and
continue with duckplyr.
ℹ See `vignette("prudence")` for other options.
Caused by error in `quo_is_null()`:
! `quo` must be a quosure
--- failed re-building ‘prudence.Rmd’
--- re-building ‘telemetry.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘telemetry.Rmd’
SUMMARY: processing the following files failed:
‘large.Rmd’ ‘prudence.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc